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Enterprise SaaS Case Study

Malasoftware

Modern Multi-Tenant ERP SaaS Platform with AI-Ready Architecture on AWS

30%
TCO Reduction
Multi-AZ
High Availability
AI-Ready
Amazon Bedrock
M
Malasoftware
Enterprise Software Company, Malaysia
"Yanhuang helped us define a clear modernization path that aligned technical transformation, cost optimization, and future AI adoption into one structured AWS roadmap."

Customer Overview

Malasoftware is an enterprise software company headquartered in Malaysia that develops ERP solutions for the e-commerce industry. Its platform supports order management, inventory, supply chain collaboration, customer service, and financial processing for merchants and brands across Southeast Asia.

  • Modular, multi-tenant SaaS platform
  • Strong scalability and integration flexibility
  • Operational reliability requirements
  • Room for future AI innovation

Business Challenge

The ERP platform was operating in a Malaysia IDC with full-stack self-built infrastructure. As the business grew, the platform faced limitations:

  • Long physical resource expansion cycles
  • Rising maintenance cost from self-built infrastructure
  • Cross-border latency limitations
  • Growing pressure on storage and analytics
  • Manual disaster recovery processes
  • Need for AI-ready architecture
Technical Deep Dive

Solution Architecture

Malasoftware ERP SaaS Platform Architecture on AWS

Architecture Overview

This architecture is designed to support a modern multi-tenant ERP SaaS platform on AWS with high availability, scalable application services, managed data layers, and future-ready AI capabilities. By combining Amazon EKS, Aurora, ElastiCache, Amazon S3, OpenSearch, and Amazon Bedrock, the platform is built to improve operational efficiency, strengthen resilience, and support long-term cloud-native growth.

Technical Highlights

  • Multi-AZ deployment for stronger availability and fault tolerance
  • Amazon EKS for scalable and standardized ERP application services
  • Amazon Aurora MySQL and PostgreSQL for managed transactional and reporting data services
  • Amazon ElastiCache for Redis for high-frequency cache and session workloads
  • Amazon S3 for durable object storage, lifecycle management, and backup support
  • Amazon OpenSearch for centralized log analysis and operational visibility
  • Amazon Bedrock for AI-ready capabilities such as content generation, multilingual support, and intelligent business insights
  • IAM, KMS, CloudTrail, and CloudWatch for governance, security, and audit readiness

Key Benefits

  • Improves scalability for growing SaaS and transaction workloads
  • Reduces infrastructure maintenance overhead through managed AWS services
  • Strengthens security, governance, and operational visibility
  • Establishes a cloud-native foundation for AI-driven innovation
  • Improves long-term cost efficiency and business agility

How We Solved It

Yanhuang designed a structured AWS migration and modernization plan aligned with business growth and future AI roadmap.

Amazon EKS

Core SaaS application workloads with containerized deployment

Aurora MySQL & PostgreSQL

Managed relational data services for transactional and reporting workloads

ElastiCache for Redis

High-frequency cache and session workloads optimization

Amazon S3

Replaced MinIO for durable object storage with lifecycle-based cost optimization

OpenSearch & ClickHouse

Log analysis modernization and S3 cold storage integration

Amazon Bedrock

Future AI functions including product description generation and multilingual support

AWS Services Used

Amazon EKS
Amazon Aurora MySQL
Amazon Aurora PostgreSQL
Amazon ElastiCache for Redis
Amazon S3
Amazon OpenSearch Service
Amazon Bedrock
Amazon Kinesis
AWS Lambda
Amazon QuickSight
AWS IAM
AWS KMS
AWS CloudTrail
Amazon CloudWatch
AWS Direct Connect

Business Outcomes

Positioned Malasoftware to move from self-built IDC to modern cloud-native architecture

~30%
TCO Reduction
Elastic
Platform Scalability
Enhanced
Security & Governance
AI-Ready
Bedrock Enabled
Stronger platform elasticity for order and inventory growth
Reduced operational overhead through managed AWS services
Improved scalability and reliability for multi-tenant ERP workloads
Better observability, governance, and security baseline alignment
Improved cost efficiency across compute, database, and storage layers
Future-ready AI enablement through Amazon Bedrock

Yanhuang's Role

AWS migration and modernization partner for the engagement

01

Assess

  • Infrastructure discovery
  • Cloud readiness assessment
  • Workload analysis
02

Design

  • Target architecture planning
  • Landing zone design
  • Security planning
03

Plan

  • Migration wave planning
  • TCO analysis
  • Bedrock enablement
04

Enable

  • Pilot migration design
  • Knowledge transfer
  • Operational readiness

Looking to modernize a SaaS platform and enable AI on AWS?

Talk to Yanhuang about cloud-native ERP modernization, cost optimization, security governance, and Amazon Bedrock adoption.